panelPomp: Inference for Panel Partially Observed Markov Processes

Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.

Version: 1.1
Depends: R (≥ 4.1.0), pomp (≥ 4.5.2)
Imports: methods
Published: 2023-03-29
DOI: 10.32614/CRAN.package.panelPomp
Author: Carles Breto ORCID iD [aut, cre], Edward L. Ionides ORCID iD [aut], Aaron A. King ORCID iD [aut]
Maintainer: Carles Breto <carles.breto at uv.es>
License: GPL-3
NeedsCompilation: no
Citation: panelPomp citation info
Materials: NEWS
CRAN checks: panelPomp results [issues need fixing before 2024-10-04]

Documentation:

Reference manual: panelPomp.pdf

Downloads:

Package source: panelPomp_1.1.tar.gz
Windows binaries: r-devel: panelPomp_1.1.zip, r-release: panelPomp_1.1.zip, r-oldrel: panelPomp_1.1.zip
macOS binaries: r-release (arm64): panelPomp_1.1.tgz, r-oldrel (arm64): panelPomp_1.1.tgz, r-release (x86_64): panelPomp_1.1.tgz, r-oldrel (x86_64): panelPomp_1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=panelPomp to link to this page.